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ORCID19th PKDD / 26th ECML 2015: Porto, Portugal
- Albert Bifet, Michael May, Bianca Zadrozny, Ricard Gavaldà, Dino Pedreschi, Francesco Bonchi, Jaime S. Cardoso, Myra Spiliopoulou:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part III. Lecture Notes in Computer Science 9286, Springer 2015, ISBN 978-3-319-23460-1
Industrial Track
- Enda Barrett, Stephen Linder:
Autonomous HVAC Control, A Reinforcement Learning Approach. 3-19 - George Forman, Hila Nachlieli, Renato Keshet:
Clustering by Intent: A Semi-Supervised Method to Discover Relevant Clusters Incrementally. 20-36 - Romain Guigourès, Dominique Gay
, Marc Boullé, Fabrice Clérot, Fabrice Rossi:
Country-Scale Exploratory Analysis of Call Detail Records Through the Lens of Data Grid Models. 37-52 - Hani Neuvirth, Yehuda Finkelstein, Amit Hilbuch, Shai Nahum, Daniel Alon, Elad Yom-Tov:
Early Detection of Fraud Storms in the Cloud. 53-67 - Hoang Thanh Lam, Eric Bouillet:
Flexible Sliding Windows for Kernel Regression Based Bus Arrival Time Prediction. 68-84 - Vojtech Franc, Michal Sofka, Karel Bartos:
Learning Detector of Malicious Network Traffic from Weak Labels. 85-99 - Christian Bockermann, Kai Brügge, Jens Buß, Alexey Egorov, Katharina Morik, Wolfgang Rhode, Tim Ruhe:
Online Analysis of High-Volume Data Streams in Astroparticle Physics. 100-115 - Karel Bartos, Michal Sofka:
Robust Representation for Domain Adaptation in Network Security. 116-132 - Jens Schreiter, Duy Nguyen-Tuong, Mona Eberts, Bastian Bischoff, Heiner Markert, Marc Toussaint:
Safe Exploration for Active Learning with Gaussian Processes. 133-149 - Helena Aidos, André Lourenço, Diana Batista, Samuel Rota Bulò, Ana L. N. Fred:
Semi-Supervised Consensus Clustering for ECG Pathology Classification. 150-164 - Phiradet Bangcharoensap, Hayato Kobayashi, Nobuyuki Shimizu, Satoshi Yamauchi, Tsuyoshi Murata:
Two Step graph-based semi-supervised Learning for Online Auction Fraud Detection. 165-179 - Michal Aharon, Eshcar Hillel, Amit Kagian, Ronny Lempel, Hayim Makabee, Raz Nissim:
Watch-It-Next: A Contextual TV Recommendation System. 180-195
Nectar Track
- Giorgio Corani, Alessio Benavoli, Francesca Mangili, Marco Zaffalon:
Bayesian Hypothesis Testing in Machine Learning. 199-202 - Harald Bosch, Robert Krüger, Dennis Thom:
Data-Driven Exploration of Real-Time Geospatial Text Streams. 203-207 - Mathis Börner, Wolfgang Rhode, Tim Ruhe, Katharina Morik:
Discovering Neutrinos Through Data Analytics. 208-212 - Markus Schedl:
Listener-Aware Music Recommendation from Sensor and Social Media Data. 213-217 - Stefano Ferilli, Domenico Redavid, Floriana Esposito:
Logic-Based Incremental Process Mining. 218-221 - Michele Berlingerio, Veli Bicer, Adi Botea, Stefano Braghin, Nuno Lopes, Riccardo Guidotti, Francesca Pratesi:
Mobility Mining for Journey Planning in Rome. 222-226 - Mehdi Kaytoue, Víctor Codocedo, Aleksey Buzmakov, Jaume Baixeries, Sergei O. Kuznetsov, Amedeo Napoli:
Pattern Structures and Concept Lattices for Data Mining and Knowledge Processing. 227-231 - Alexandros Karakasidis, Georgia Koloniari, Vassilios S. Verykios:
Privacy Preserving Blocking and Meta-Blocking. 232-236 - Qian Zhang, Corrado Gioannini, Daniela Paolotti, Nicola Perra, Daniela Perrotta, Marco Quaggiotto, Michele Tizzoni, Alessandro Vespignani:
Social Data Mining and Seasonal Influenza Forecasts: The FluOutlook Platform. 237-240 - Ricardo Vilalta, Kinjal Dhar Gupta, Ashish Mahabal:
Star Classification Under Data Variability: An Emerging Challenge in Astroinformatics. 241-244 - Yuxiao Dong, Nitesh V. Chawla, Jie Tang, Yang Yang, Yang Yang:
The Evolution of Social Relationships and Strategies Across the Lifespan. 245-249 - Wouter Duivesteijn, Julia Thaele:
Understanding Where Your Classifier Does (Not) Work. 250-253 - Natalia V. Andrienko, Gennady L. Andrienko, Georg Fuchs, Piotr Jankowski:
Visual Analytics Methodology for Scalable and Privacy-Respectful Discovery of Place Semantics from Episodic Mobility Data. 254-258 - Yuxiao Dong, Reid A. Johnson, Nitesh V. Chawla:
Will This Paper Increase Your h-index? 259-263
Demo Track
- André Lourenço, Ana Priscila Alves, Carlos Carreiras, Rui Policarpo Duarte, Ana L. N. Fred:
CardioWheel: ECG Biometrics on the Steering Wheel. 267-270 - Ilaria Tiddi, Mathieu d'Aquin, Enrico Motta:
Data Patterns Explained with Linked Data. 271-275 - Pierre Houdyer, Albrecht Zimmermann, Mehdi Kaytoue, Marc Plantevit, Joseph Mitchell, Céline Robardet:
Gazouille: Detecting and Illustrating Local Events from Geolocalized Social Media Streams. 276-280 - Bijan Ranjbar Sahraei, Julia Efremova, Hossein Rahmani, Toon Calders, Karl Tuyls, Gerhard Weiss:
HiDER: Query-Driven Entity Resolution for Historical Data. 281-284 - Andre Lamurias, Luka A. Clarke, Francisco M. Couto:
IICE: Web Tool for Automatic Identification of Chemical Entities and Interactions. 285-288 - Matt McVicar, Cédric Mesnage, Jefrey Lijffijt, Tijl De Bie:
Interactively Exploring Supply and Demand in the UK Independent Music Scene. 289-292 - Ujval Kamath, Ana Costa e Silva, Michael O'Connell:
Monitoring Production Equipment in Remote Locations. 293-297 - Matija Piskorec, Borut Sluban, Tomislav Smuc:
MultiNets: Web-Based Multilayer Network Visualization. 298-302 - Tao Jiang, Zhanhuai Li, Qun Chen, Zhong Wang, Kai-Wen Li, Wei Pan:
OMEGA: An Order-Preserving SubMatrix Mining, Indexing and Search Tool. 303-307 - David Tolpin, Jan-Willem van de Meent, Frank D. Wood:
Probabilistic Programming in Anglican. 308-311 - Anton Dries, Angelika Kimmig, Wannes Meert, Joris Renkens, Guy Van den Broeck, Jonas Vlasselaer, Luc De Raedt:
ProbLog2: Probabilistic Logic Programming. 312-315 - Natalia V. Andrienko, Gennady L. Andrienko, Georg Fuchs, Salvatore Rinzivillo, Hans-Dieter Betz:
Real Time Detection and Tracking of Spatial Event Clusters. 316-319 - Michele Berlingerio, Stefano Braghin, Francesco Calabrese, Cody Dunne, Yiannis Gkoufas, Mauro Martino, Jamie C. Rasmussen, Steven I. Ross:
S&P360: Multidimensional Perspective on Companies from Online Data Sources. 320-324 - Andrey Tyukin, Stefan Kramer, Jörg Wicker:
Scavenger - A Framework for Efficient Evaluation of Dynamic and Modular Algorithms. 325-328 - Roland Assam, Simon Feiden, Thomas Seidl:
UrbanHubble: Location Prediction and Geo-Social Analytics in LBSN. 329-332 - Matthijs van Leeuwen, Lara Cardinaels:
VIPER - Visual Pattern Explorer. 333-336 - Gennady L. Andrienko, Natalia V. Andrienko:
Visualization Support to Interactive Cluster Analysis. 337-340
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